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Emburse, Inc. is seeking software engineers to enhance our interconnected system solutions. You will design and implement features, solve challenging problems, and contribute to a reliable, scalable platform.
The role emphasizes secure coding, code reviews, and collaboration within agile teams. Applicants should have a Bachelor's in CS or related field and 4+ years of distributed web app experience, with strong C#/.NET, RESTful services, and cloud tooling in Azure.
Required: Bachelor’s degree in Computer Science or related field, or equivalent years’ experienceRequired: Minimum of 4 years of experience in software engineeringUnderstanding of secure coding principles, OWASP guidelines, and agile software development lifecyclesExperience with CI/CD pipelines and deployment methodologiesExperience with Azure services and APIs, or equivalent cloud vendor experience (e.g., AWS)Experience working with 3rd party APIs, workflow, and integration architecturesExperience working in an Agile software development environment (e.g., Scrum)Experience with source control systems such as GitMinimum of 2+ years of professional software engineering experience in a distributed web application development environment (e.g. microservices, APIs, DB integration, queues, topics, caches, containers, serverless)Experience working in both Windows and Linux environmentsStrong hands-on experience with C# and the .NET / .NET Core framework, with proven history designing, building, and consuming RESTful services and APIsTravel Domain Experience: Prior experience in corporate travel, booking engines, or expense management platforms. (Note: Candidates with strong Java experience will be considered if accompanied by Travel domain expertise)AI & Modern Developer Workflows: Experience utilizing AI coding assistants, models, or harness frameworks (e.g., Harness, Claude Code, Cursor, GitHub Copilot) to accelerate developmentExperience with data processing, data engineering, or integrations with AI/ML services and APIsExposure to containerization technologies (e.g., Docker, Kubernetes)